Article

Predicting the DNA binding specificity of transcription factor mutants using family-level biophysically interpretable machine learning

2024-01-29

Abstract excerpt

Sequence-specific interactions of transcription factors (TFs) with genomic DNA underlie many cellular processes. High-throughput in vitro binding assays coupled with machine learning have made it possible to accurately define such molecular recognition in a biophysically interpretable way for hundreds of TFs across many structural families, providing new avenues for predicting how the sequence preference of a TF i...

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Literature Corpus work: ae60a57b-0c63-57d0-9cab-8a5df918374f
DOI: 10.1101/2024.01.24.577115

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